DC FieldValueLanguage
dc.contributor.authorNtalianis, Klimis-
dc.contributor.authorKollias, Stefanos-
dc.contributor.authorTzouveli, Paraskevi-
dc.date.accessioned2024-11-01T09:41:55Z-
dc.date.available2024-11-01T09:41:55Z-
dc.date.issued2006-07-10-
dc.identifierscopus-33745594796-
dc.identifier.isbn978-3-540-33578-8-
dc.identifier.isbn978-3-540-33579-5-
dc.identifier.issn1611-3349-
dc.identifier.other33745594796-
dc.identifier.urihttps://uniwacris.uniwa.gr/handle/3000/2856-
dc.description.abstractA robust video object based watermarking scheme, based on Zernike and Hu moments, is proposed in this paper. Firstly, a human video object detector is applied to the initial image. Zernike and the Hu moments of each human video object are estimated and an invariant function for watermarking is incorporated. Then, the watermark is generated modifying the moment values of each human video object. In the detection scheme, a neural network classifier is initially used in order to extract possible watermarked human video objects from each received input image. Then, a watermark detection procedure is applied for video object authentication. A full experiment confirms the promising performance of the proposed scheme. Furthermore, the performances of the two types of moments are extensively investigated under several attacks, verifying the robustness of Zernike moments comparing to Hu moments.en_US
dc.language.isoenen_US
dc.relation.ispartofVisual Content Processing and Representation (VLBV 2005)en_US
dc.relation.ispartofseriesLecture Notes in Computer Scienceen_US
dc.titleVideo object watermarking based on momentsen_US
dc.typeConference Paperen_US
dc.relation.conference9th International Workshop on Visual Content Processing and Representation (VLBV 2005), 15-16 September 2005, Sardinia, Italyen_US
dc.identifier.doi10.1007/11738695_10en_US
dc.identifier.scopus2-s2.0-33745594796-
dcterms.accessRights0en_US
dc.relation.deptDepartment of Business Administrationen_US
dc.relation.facultySchool of Administrative, Economics and Social Sciencesen_US
dc.identifier.spage68en_US
dc.identifier.epage75en_US
dc.collaborationUniversity of West Attica (UNIWA)en_US
dc.journalsOpen Accessen_US
dc.publicationPeer Revieweden_US
dc.countryGreeceen_US
local.metadatastatusnot verifieden_US
item.cerifentitytypePublications-
item.languageiso639-1en-
item.openairetypeConference Paper-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextNo Fulltext-
item.grantfulltextnone-
crisitem.author.deptDepartment of Business Administration-
crisitem.author.facultySchool of Administrative, Economics and Social Sciences-
crisitem.author.parentorgSchool of Administrative, Economics and Social Sciences-
Appears in Collections:Book Chapter / Κεφάλαιο Βιβλίου
CORE Recommender
Show simple item record

SCOPUSTM   
Citations

2
checked on Nov 2, 2024

Page view(s)

8
checked on Nov 5, 2024

Google ScholarTM

Check

Altmetric

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.